Compositional Synthesis via a Convex Parameterization of Assume-Guarantee Contracts

HSCC '20: 23rd ACM International Conference on Hybrid Systems: Computation and Control Sydney New South Wales Australia April, 2020(2020)

引用 24|浏览27
暂无评分
摘要
We develop an assume-guarantee framework for control of large scale linear (time-varying) systems from finite-time reach and avoid or infinite-time invariance specifications. The contracts describe the admissible set of states and controls for individual subsystems. A set of contracts compose correctly if mutual assumptions and guarantees match in a way that we formalize. We propose a rich parameterization of contracts such that the set of parameters that compose correctly is convex. Moreover, we design a potential function of parameters that describes the distance of contracts from a correct composition. Thus, the verification and synthesis for the aggregate system are broken to solving small convex programs for individual subsystems, where correctness is ultimately achieved in a compositional way. Illustrative examples demonstrate the scalability of our method.
更多
查看译文
关键词
Compositional Synthesis, Assume-Guarantee Contracts, Zonotopes, Viable Sets, Linear Systems
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要